Graduate Courses
Term Schedule
Fall 2017
| Number | Title | Instructor | Time |
|---|
|
BCS 501
KURUMADA C
–
|
|
An interdisciplinary introduction to the field of natural language, emphasizing behavioral, linguistic, and computational perspectives. Topics include language structure, production, comprehension, and acquisition BUILDING: | ROOM: |
|
BCS 504 (BCS 504)
DEANGELIS G; MITCHELL J
–
|
|
An introduction to the functioning of the senses and the physiological mechanisms underlying them. Topics include vision, audition, somatosensation, the vestibular system, guestation and olfaction, with an emphasis on the general principles that govern mammalian sensory systems. BUILDING: | ROOM: |
|
BCS 510 (CSP 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL | ROOM: 474 |
|
BCS 511
PIANTADOSI S
–
|
|
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: | ROOM: |
|
BCS 513
RAIZADA R
–
|
|
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: | ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. |
|
BCS 528 (BCS 528)
TADIN D
–
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
BCS 530 (DSC 530)
KAUTZ H; JACOBS R
MW 10:25AM - 11:40AM
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
BCS 533 (CSC 248)
GILDEA D
TR 11:05AM - 12:20PM
|
|
An introduction to statistical natural language processing and automatic speech recognition techniques. This course presents the theory and practice behind the recently developed language processing technologies that enable applications such as speech-driven dictation systems, document search engines (e.g., finding web pages) and automatic machine translation. Students taking this course at the 400 level will be required to complete additional readings and/or assignments. BUILDING: CSB | ROOM: 601 PREREQUISITES: CSC172 & CSC 242 |
|
BCS 542 (BCS 242)
WEBER M
TR 4:50PM - 6:05PM
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL | ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:40AM
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
BCS 547 (BCS 247)
HAEFNER R
MW 11:50AM - 1:05PM
|
|
This course will provide an introduction to computational neuroscience, the study of both the computations performed by the brain, and of computational models of neuronal responses. In the course we will focus on the visual system. BUILDING: LCHAS | ROOM: 182 PREREQUISITES: Programming experience is required, as well as familiarity with linear algebra and simple probability theory. |
|
BCS 581 (TH 581)
MARVIN E; MCDONOUGH J
M 2:35PM - 5:25PM
|
|
6TH 581 (I-4) Music and Language: This course will explore relationships between musical and linguistic structure. In addition to reading and evaluating early writings on the subject by Bernstein and Lerdahl & Jackendoff, students will assess more recent work by Huron and Patel, and the linguists Hayes and Ladd on prosodic structure. We will also discuss experimental work on prosodic structure in language and on music acquisition in infants. Co-taught by a music theorist and linguist, the course will review basic aspects of phonology, intonational phonology, meter, and memory that are relevant to music. Each student will complete a piece of original research in the form of a term paper and class presentation. BUILDING: ESM | ROOM: 070 PREREQUISITES: Prerequisite: permission of instructor. |
|
BCS 591
–
–
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No description BUILDING: | ROOM: |
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BCS 595
–
–
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No description BUILDING: | ROOM: |
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BCS 595A
–
–
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No description BUILDING: | ROOM: |
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BCS 598
–
–
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No description BUILDING: | ROOM: |
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BCS 895
–
–
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No description BUILDING: | ROOM: |
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BCS 985
–
–
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No description BUILDING: | ROOM: |
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BCS 986V
–
–
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No description BUILDING: | ROOM: |
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BCS 995
–
–
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No description BUILDING: | ROOM: |
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BCS 997
–
–
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No description BUILDING: | ROOM: |
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BCS 997A
–
–
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No description BUILDING: | ROOM: |
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BCS 999
–
–
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No description BUILDING: | ROOM: |
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BCS 999A
–
–
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No description BUILDING: | ROOM: |
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BCS 999B
–
–
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No description BUILDING: | ROOM: |
Fall 2017
| Number | Title | Instructor | Time |
|---|---|
| Monday | |
|
BCS 581 (TH 581)
MARVIN E; MCDONOUGH J
M 2:35PM - 5:25PM
|
|
|
6TH 581 (I-4) Music and Language: This course will explore relationships between musical and linguistic structure. In addition to reading and evaluating early writings on the subject by Bernstein and Lerdahl & Jackendoff, students will assess more recent work by Huron and Patel, and the linguists Hayes and Ladd on prosodic structure. We will also discuss experimental work on prosodic structure in language and on music acquisition in infants. Co-taught by a music theorist and linguist, the course will review basic aspects of phonology, intonational phonology, meter, and memory that are relevant to music. Each student will complete a piece of original research in the form of a term paper and class presentation. BUILDING: ESM | ROOM: 070 PREREQUISITES: Prerequisite: permission of instructor. |
|
| Monday and Wednesday | |
|
BCS 530 (DSC 530)
KAUTZ H; JACOBS R
MW 10:25AM - 11:40AM
|
|
|
This course provides a hand-on introduction to experimental and analytical methods in cognitive science and artificial intelligence. Each year, it offers three modules from a rotating list, including topics such as brain imaging, computational linguistics, and computer vision. The course is open to graduate students in any discipline. The course is recommended for who intend to pursue research in the the intersection of cognitive science and computer science, but prior experience in those fields is not required. It is required for students supported by the BCS/CS NRT graduate training grant. The modules are on Bayesian neuroscience, computational models in cognitive science, and natural language dialog systems. BUILDING: MEL | ROOM: 269 PREREQUISITES: none |
|
|
BCS 547 (BCS 247)
HAEFNER R
MW 11:50AM - 1:05PM
|
|
|
This course will provide an introduction to computational neuroscience, the study of both the computations performed by the brain, and of computational models of neuronal responses. In the course we will focus on the visual system. BUILDING: LCHAS | ROOM: 182 PREREQUISITES: Programming experience is required, as well as familiarity with linear algebra and simple probability theory. |
|
| Monday, Wednesday, and Friday | |
|
BCS 543 (NSC 243)
MILLER R
MWF 10:25AM - 11:40AM
|
|
|
Introduces the field of neurochemistry with an emphasis on cellular and molecular neurochemistry. Topics range from study of neurochemical mechanisms that underlie normal neural function to discussion of behavioral disturbances that result from neurochemical abnormalities. Considers neurochemical mechanisms of adaptive behavior, learning and memory, behavioral disorders, gender differences, and drug seeking behavior. BUILDING: LCHAS | ROOM: 141 PREREQUISITES: BCS 240 (NSC 201); BIO 250 recommended |
|
| Tuesday and Thursday | |
|
BCS 510 (CSP 504)
ZUCKERMAN M
TR 9:00AM - 10:55AM
|
|
|
Issues of data analysis in experimental research. The course focuses on parametric techniques, specifically analysis of variance. Topics covered include simple and complex designs for between and within subjects factors, including mixed designs; analysis of covariance and trend and contrasts. The course includes a lab in which students are taught to use a popular statistical package for data analysis BUILDING: MEL | ROOM: 474 |
|
|
BCS 533 (CSC 248)
GILDEA D
TR 11:05AM - 12:20PM
|
|
|
An introduction to statistical natural language processing and automatic speech recognition techniques. This course presents the theory and practice behind the recently developed language processing technologies that enable applications such as speech-driven dictation systems, document search engines (e.g., finding web pages) and automatic machine translation. Students taking this course at the 400 level will be required to complete additional readings and/or assignments. BUILDING: CSB | ROOM: 601 PREREQUISITES: CSC172 & CSC 242 |
|
|
BCS 542 (BCS 242)
WEBER M
TR 4:50PM - 6:05PM
|
|
|
Examines clinical neuropsychology, which bridges neurology, neuroscience, and clinical psychology. Covers history of clinical neuropsychology, principles of neuropsychological assessment, and the interpretation of cognition and behavior as they relate to brain dysfunction. Considers specific neurological syndromes including neurodegenerative, cerebrovascular, toxic, and memory disorders; epilepsy; head trauma; infectious processes; pediatric neuropsychology; psychiatric syndromes; and forensic neuropsychology. Patient presentations (videotape and in-person interviews) supplement lectures. BUILDING: MEL | ROOM: 203 PREREQUISITES: BCS 110 or BCS 240 (NSC 201) or permission of instructor |
|
| TBA | |
|
BCS 501
KURUMADA C
–
|
|
|
An interdisciplinary introduction to the field of natural language, emphasizing behavioral, linguistic, and computational perspectives. Topics include language structure, production, comprehension, and acquisition BUILDING: | ROOM: |
|
|
BCS 504 (BCS 504)
DEANGELIS G; MITCHELL J
–
|
|
|
An introduction to the functioning of the senses and the physiological mechanisms underlying them. Topics include vision, audition, somatosensation, the vestibular system, guestation and olfaction, with an emphasis on the general principles that govern mammalian sensory systems. BUILDING: | ROOM: |
|
|
BCS 511
PIANTADOSI S
–
|
|
|
This course reviews the leading methods used to investigate cognitive skills and/or their neural substrate in humans. The course is divided into several sections: accuracy and psychophysics; RT and processing states; interference, neighborhood effects and system dynamics; investigations of natural data; brain imaging methods as applied to the cognitive sciences; and issues when studying special populations such as infants, patients, animals or any non-compliant subject. Technical articles on each technique are discussed in combination with specific illustrations of how each has been used to investigate research questions. BUILDING: | ROOM: |
|
|
BCS 513
RAIZADA R
–
|
|
|
The core focus of the course will be on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. Some of the questions that the course will address include: 1) The basic fMRI signal just shows activation in different parts of the brain. How can we get from that to addressing questions about neural representations and neural information processing? 2) Ways of relating neural activation to behavioural performance. Can fMRI provide information over and above what can be obtained from behaviour alone? 3) Standard fMRI analysis using the General Linear Model, including preprocessing steps. 4) Multivariate fMRI analysis using machine learning approaches. There will also be a component, about 20% of the class, on the big-picture aspects of MRI physics and physiology which make fMRI possible. BUILDING: | ROOM: PREREQUISITES: Prior programming experience (esp. Matlab) recommended. |
|
|
BCS 528 (BCS 528)
TADIN D
–
|
|
|
Advanced graduate seminar on a chose problem in vision sciences. In previous years, topics have included motion perception, stereopsis, color vision and visuo-motor control. Readings for the course are drawn from the scientific literature in the topic being covered. Students are typically required to lead discussions on papers. BUILDING: | ROOM: |
|
|
BCS 591
–
–
|
|
|
No description BUILDING: | ROOM: |
|
|
BCS 595
–
–
|
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No description BUILDING: | ROOM: |
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BCS 595A
–
–
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No description BUILDING: | ROOM: |
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BCS 598
–
–
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No description BUILDING: | ROOM: |
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BCS 895
–
–
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No description BUILDING: | ROOM: |
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BCS 985
–
–
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No description BUILDING: | ROOM: |
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BCS 986V
–
–
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No description BUILDING: | ROOM: |
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BCS 995
–
–
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No description BUILDING: | ROOM: |
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BCS 997
–
–
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No description BUILDING: | ROOM: |
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BCS 997A
–
–
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No description BUILDING: | ROOM: |
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BCS 999
–
–
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No description BUILDING: | ROOM: |
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BCS 999A
–
–
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No description BUILDING: | ROOM: |
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BCS 999B
–
–
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No description BUILDING: | ROOM: |
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